This book introduces readers to the theoretical foundation and application of topic models. It provides readers with efficient means to learn about the technical principles underlying topic models. More concretely, it covers topics such as fundamental concepts, topic model structures, approximate inference algorithms, and a range of methods used to create high-quality topic models. In addition, this book illustrates the applications of topic models applied in real-world scenarios. Readers will be instructed on the means to select and apply suitable models for specific real-world tasks, providing this book with greater use for the industry. Finally, the book presents a catalog of the most important topic models from the literature over the past decades, which can be referenced and indexed by researchers and engineers in related fields. We hope this book can bridge the gap between academic research and industrial application and help topic models play an increasingly effective role in both academia and industry. This book offers a valuable reference guide for senior undergraduate students, graduate students, and researchers, covering the latest advances in topic models, and for industrial practitioners, sharing state-of-the-art solutions for topic-related applications. The book can also serve as a reference for job seekers preparing for interviews.

This book contributes to blockchain applications in food supply chain management from both theoretical and practical perspectives. By using the case study research method, it empirically investigates why and how food companies implement blockchain technology. Moreover, it proposes a conceptual framework based on the case findings and extant literature. The book provides empirical evidence to verify academic findings such as critical success factors and barriers. Furthermore, it identifies the implementation process to answer the ‘how’ question. Uniquely, it applies the innovation process model and the practice-based view (PBV) to studies on food supply chains and blockchain. Thus, building on the original model and theory, it enriches the theory on blockchain implementation, making it a valuable asset for all researchers and practitioners interested in blockchain adoption and food supply chain management.

This book focuses on corporate sector development in the context of transition economies, such as China. In doing so, the book uses quantitative methods to test several hypotheses that are salient to the Chinese economic situation. Topics covered in the book include the relationship between tax management and firm performance, the extent to which a short-term focus on tax management can lead to long-term vulnerabilities, the impact of government ownership on tax management impact, and the link between the co-evolution of marketization and corruption, and institutional change and tax management. With that the book offers rich empirical evidence to examine tax management, firm performance and corruption in a broad context, while permitting comparison between the Chinese experience and the market economies.

This book focuses on corporate sector development in the context of transition economies, such as China. In doing so, the book uses quantitative methods to test several hypotheses that are salient to the Chinese economic situation. Topics covered in the book include the relationship between tax management and firm performance, the extent to which a short-term focus on tax management can lead to long-term vulnerabilities, the impact of government ownership on tax management impact, and the link between the co-evolution of marketization and corruption, and institutional change and tax management. With that the book offers rich empirical evidence to examine tax management, firm performance and corruption in a broad context, while permitting comparison between the Chinese experience and the market economies.

Electromagnetic imaging has been a powerful technique in various civil and military applications across medical imaging, geophysics, and space exploration. The Nyquist-Shannon theory has formed the basis for processing the signals in such systems. The advent of Compressive Sensing techniques has enabled low-dimension-model-based techniques to be used to break many of the bottlenecks of the earlier technologies. Low-dimensional-model-based electromagnetic imaging remains at its early stage, and many important issues relevant to practical applications need to be carefully investigated. In particular, this is the era of big data with booming electromagnetic sensing, by which massive data are being collected for retrieving very detailed information of probed objects. This monograph gives an overview of the low-dimensional models of structure signals, along with its relevant theories and low-complexity algorithms of signal recovery. It further reviews the recent advancements of low-dimensional-model-based electromagnetic imaging in various applied areas. It is a comprehensive introduction for researchers and engineers wishing to understand the state-of-the-art of electromagnetic imaging.